Tutorials
Table of contents
While our Installation and Getting Started pages cover basic installation and simple examples of using the neural NLP pipeline, on this page we provide links to advanced examples on building the pipeline, running text annotation and converting the annotations into different formats. At the end we also link to toturials with online notebooks for interactive learning of the library.
Pipeline Building
Building a Neural Pipeline with Customized Model Paths
Text Annotation
Running Tokenization and Sentence Segmentation
Running Stanza on multiple documents
Running Tokenization without Sentence Segmentation
Running Stanza with Pretokenized Text
Using spaCy for Fast Tokenization and Sentence Segmentation
Accessing Syntactic Words of Multi-Word Tokens
Accessing Parent Token of a Word
Accessing POS and Morphological Features of a Word
Improving the Lemmatizer by Providing Key-Value Dictionary
Accessing Head and Dependency Relation of a Word
Running Dependency Parsing with Pre-annotated Document
Accessing Named Entities in a Sentence or a Document
Data Conversion
Interactive Tutorials
A Beginner’s Guide to Stanza